scholarly journals Policy Driven and Agent Based Geospatial Information Services Composition

2012 ◽  
Vol 12 ◽  
pp. 802-809
Author(s):  
Bin Xie ◽  
Dengrong Zhang ◽  
Xiang Li ◽  
Yang Wu
Author(s):  
Hui Wang ◽  
Yuhui Zhao ◽  
Deguo Yang ◽  
Cuirong Wang ◽  
Yuan Gao

Author(s):  
Willington Siabato ◽  
Javier Moya-Honduvilla ◽  
Miguel Ángel Bernabé-Poveda

The way aeronautical information is managed and disseminated must be modernized. Current aeronautical information services (AIS) methods for storing, publishing, disseminating, querying, and updating the volume of data required for the effective management of air traffic control have become obsolete. This does not contribute to preventing airspace congestion, which turns into a limiting factor for economic growth and generates negative effects on the environment. Owing to this, some work plans for improving AIS and air traffic flow focus on data and services interoperability to allow an efficient and coordinated use and exchange of aeronautical information. Geographic information technologies (GIT) and spatial data infrastructures (SDI) are comprehensive technologies upon which any service that integrates geospatial information can rely. The authors are working on the assumption that the foundations and underlying technologies of GIT and SDI can be applied to support aeronautical data and services, considering that aeronautical information contains a large number of geospatial components. This article presents the design, development, and implementation of a Web-based system architecture to evolve and enhance the use and management of aeronautical information in any context, e.g., in aeronautical charts on board, in control towers, and in aeronautical information services. After conducting a study into the use of aeronautical information, it was found that users demand specific requirements regarding reliability, flexibility, customization, integration, standardization, and cost reduction. These issues are not being addressed with existing systems and methods. A system compliant with geographic standards (OGC, ISO) and aeronautical regulations (ICAO, EUROCONTROL) and supported by a scalable and distributed Web architecture is proposed. This proposal would solve the shortcomings identified in the study and provide aeronautical information management (AIM) with new methods and strategies. In order to seek aeronautical data and services interoperability, a comprehensive aeronautical metadata profile has been defined. This proposal facilitates the use, retrieval, updating, querying, and editing of aeronautical information, as well as its exchange between different private and public institutions. The tests and validations have shown that the proposal is achievable.


2020 ◽  
Vol 13 (1) ◽  
Author(s):  
Mohammad Tabasi ◽  
Ali Asghar Alesheikh ◽  
Aioub Sofizadeh ◽  
Bahram Saeidian ◽  
Biswajeet Pradhan ◽  
...  

Abstract Background Zoonotic cutaneous leishmaniasis (ZCL) is a neglected tropical disease worldwide, especially the Middle East. Although previous works attempt to model the ZCL spread using various environmental factors, the interactions between vectors (Phlebotomus papatasi), reservoir hosts, humans, and the environment can affect its spread. Considering all of these aspects is not a trivial task. Methods An agent-based model (ABM) is a relatively new approach that provides a framework for analyzing the heterogeneity of the interactions, along with biological and environmental factors in such complex systems. The objective of this research is to design and develop an ABM that uses Geospatial Information System (GIS) capabilities, biological behaviors of vectors and reservoir hosts, and an improved Susceptible-Exposed-Infected-Recovered (SEIR) epidemic model to explore the spread of ZCL. Various scenarios were implemented to analyze the future ZCL spreads in different parts of Maraveh Tappeh County, in the northeast region of Golestan Province in northeastern Iran, with alternative socio-ecological conditions. Results The results confirmed that the spread of the disease arises principally in the desert, low altitude areas, and riverside population centers. The outcomes also showed that the restricting movement of humans reduces the severity of the transmission. Moreover, the spread of ZCL has a particular temporal pattern, since the most prevalent cases occurred in the fall. The evaluation test also showed the similarity between the results and the reported spatiotemporal trends. Conclusions This study demonstrates the capability and efficiency of ABM to model and predict the spread of ZCL. The results of the presented approach can be considered as a guide for public health management and controlling the vector population.


Author(s):  
S. Venkatesan ◽  
C. Chellappan ◽  
Anurika Vaish

Content discovery is an important aspect in the context of ever-growing internet based information services and management. Especially multimedia content discovery is an essential aspect because it is an effective and efficient way to deliver the concept to the people or making them understands easily. For this multimedia content discovery, a well known search engine Google is using different kind of linking techniques. But the challenge arises, in case the multimedia content location is not available with the link, then it is not able to discover the content location. To overcome the above limitation, we propose this mobile agent based multimedia content discovery model. Here, mobile agent would be send to the location of the server where the content is available and bring it to the real world environment. Also with the advantage of the mobile agent, we can reduce the network traffic and also we can discover all the contents location.


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